Generative AI Engineer - LLM/RAG in Bangalore, भारत

Description :- Design, develop, and deploy large language model (LLM) pipelines, incorporating foundational models, retrieval-augmented generation (RAG), memory and caching mechanisms, and external API integrations.- Implement generative AI solutions tailored to the needs of regulated industries such as financial services and healthcare.- Apply advanced natural language processing (NLP) techniques and frameworks to address complex language understanding and generation challenges.- Deploy, manage, and scale AI solutions on cloud platforms (AWS, Azure, GCP).- Conduct risk assessments for GenAI pipelines, addressing : Data privacy and security concerns Bias and fairness in model outputs Hallucination and factual accuracy issues Prompt injection vulnerabilities and toxicity Model drift and long-term performance degradation- Develop safeguards, monitoring systems, and compliance frameworks to ensure responsible and regulatory-aligned AI deployment.- Collaborate with cross-functional teams, including product, compliance, engineering, and data science, to deliver business-ready AI https://jobeax.com/link/qVQYcn8zRo6FsrUo Technical Skills :- Proven expertise in developing and deploying large language models (LLMs) and generative AI solutions.- Proficiency in Python and widely adopted AI/ML libraries, including Hugging Face Transformers, LangChain, CrewAI, Sklearn, Plotly, TRL, FastAPI- Experience with agent development platforms and SDKs, such as : OpenAI Agent SDK Google Agent SDK Dialogflow, VAPI, Salesforce AgentForce, Microsoft CopilotSoft Skills :- Strong problem-solving and analytical thinking abilities.- Excellent communication skills for articulating AI concepts to diverse stakeholders.- Ability to collaborate effectively across cross-functional teams.- Adaptability to rapidly evolving AI technologies and industry https://jobeax.com/link/7GNHHT3CcngKqsQd Knowledge - Healthcare is Preferred :- Understanding of healthcare and life sciences regulatory frameworks (HIPAA, GDPR).- Awareness of generative AI use cases in healthcare, including : Patient engagement and virtual assistants Medical documentation assistance Scheduling and operational automationEducation & Experience :- Masters degree in Computer Science, Data Science, or a related field.- Minimum 5 years of experience in developing and deploying AI/ML solutions.- At least 3 years of recent, hands-on experience in NLP and generative AI projects.- Proven track record of delivering successful AI initiatives in regulated industries, preferably financial services or healthcare (ref:hirist.tech)